Author

Asian Immune Diversity Atlas Network

Massachusetts General Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Genomics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:scRNA-seq· 3 Approach:statistical model· 3 Research Focus:benchmarking· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Research Focus:clustering· 1

Frequent Co-Authors

Jay W. ShiniD· 3 shared Kian Hong KockiD· 3 shared Shyam PrabhakariD· 3 shared Yoshinari AndoiD· 3 shared Eliora Violain BuyaminiD· 2 shared Le Min TaniD· 2 shared Partha Pratim MajumderiD· 2 shared Ponpan MatangkasombutiD· 2 shared

Activity by Year

2023-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersImmunology

Jay W. ShinORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintOct 21, 2026

A Community-Driven Single-Cell PBMC Reference Integrating Landmark Datasets Spanning Health and Disease

Ana-Maria Cujba, Sergio Aguilar-Fernández, Adrien Antoinette…·Gary Reynolds

HARP integrates PBMC data from multiple studies to create a reference atlas with consensus annotations and identifies age, sex, and disease-related cellular modules.

DOI 10.64898/2026.09.21.749940

humanscRNA-seq

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Systems BiologybioRxivPreprintJun 8, 2026

Cellular Complexity and Systemic Immune Profiles across Ancestral Diversity in Thailand and Mainland Southeast Asia

Benjamaporn Sriwilai, Sarintip Nguantad, Damita Jevapatarakul…·Varodom Charoensawan

The paper presents the first single-cell immune atlas of a Mainland Southeast Asian population, showing genetic ancestry shapes innate immune profiles and highlights sex-by-ancestry interactions in immune activation.

DOI 10.64898/2026.06.08.726441

humanscRNA-seq

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 14, 2023

Quantification of escape from X chromosome inactivation with single-cell omics datasets reveals heterogeneity across cell types and tissues

Yoshihiko Tomofuji, Ryuya Edahiro, Yuya Shirai…·Yukinori Okada

The paper introduces scLinaX, a method to quantify X chromosome inactivation escape using scRNA-seq, revealing heterogeneity across cell types and tissues.

8 citations

humanscRNA-seq

𝕏 PostBluesky